AI Principal Engineer

Summary

Join Improvado, a rapidly scaling AI-powered marketing intelligence platform, as a hands-on AI Principle Engineer. Co-own the AI product and technical roadmap with the CEO, bridging product thinking and deep engineering. Design and implement key AI-powered features, drive technical architecture decisions, and write scalable, production-ready code using modern LLM frameworks. Guide a small team of AI engineers, mentoring and setting direction. This high-ownership role requires a 6-day workweek and a relentless drive for execution. You will work closely with the CEO to define the product vision based on real user needs and directly build the systems that power it. Improvado offers a remote-first work environment with collaboration centered around U.S. hours.

Requirements

• A catalyst for action with a relentless drive for execution. We need a doer who thrives on speed and velocity, takes absolute ownership of outcomes, and is energized by a fast-paced environment
• Strong product instincts and user empathy — you think beyond models and love solving real problems
• Able to clearly communicate business context and product priorities to engineers — helping them build the right things, not just functional code
• Deep experience building AI/ML systems, ideally with LLMs in production
• Familiarity with the modern AI/LLM ecosystem
• Hands-on knowledge of prompt engineering, vector databases, orchestration tools, and model evaluation pipelines
• Clear communicator, comfortable leading discussions and making decisions
• Availability to work a 6-day week and maintain consistent overlap with U.S. time zones

Responsibilities

• Co-own the AI product and technical roadmap with our CEO
• Serve as the link between engineering and the business: ensure the team understands not just what to build, but why it matters
• Design and implement key AI-powered features from the ground up
• Drive technical architecture decisions and ensure high code quality and reliability
• Write scalable, production-ready code and build intelligent agents using modern LLM frameworks
• Define and track success metrics — from model performance to user satisfaction and adoption

Preferred Qualifications

Previous startup or fast-paced environment experience is a plus

Benefits

• Fully remote work with overlap in U.S. time zones
• Competitive salary based on your experience and impact
• Relocation assistance to Latin America
• Modern AI tech stack and freedom to experiment
• 27 PTO days + U.S. holidays and extra days off
• Professional development reimbursement
• Stock options after the probation period